feat: new page template for Plotting

pages/1_📈_Plotting.py

@@ -1,3 +1,39 @@
 import streamlit as st
+import pandas as pd
 
-st.warning("We are working on this functionality!")
+
+st.header("Plotting Time-Series Data")
+st.markdown("Users can load their time-series data in **.csv** format and select particular feature and plot-type to visualize it.\
+ Go ahead and use the sidebar on the left to upload your data files and to start visualizing it!")
+st.caption("Upload your data using the sidebar to start and select a plot-type to start :sunglasses:")
+
+
+def plot_collection(plot_only_this, collection, number_of_desired_plots=0):
+  fig = go.Figure()
+  plots_count = 0
+  print("total number of graphs: ", len(collection))
+
+  for (pattern_name, d) in collection:
+    if pattern_name == plot_only_this:
+      if plots_count ==0:
+        fig.add_trace(go.Line(y=d))
+        fig.update_layout(title=plot_only_this)
+      else:
+        fig.add_trace(go.Line(y=d))
+      plots_count += 1
+      fig.update_layout(width=1200, height=800)
+      if number_of_desired_plots:
+        if plots_count == number_of_desired_plots:
+          break
+            
+
+with st.sidebar:
+    plot = st.radio("Select the kind of visualization:",('Plot feature', 'Compare users', 'Plot distribution'))
+    file = st.file_uploader("Load CSV file", accept_multiple_files = False)
+    if file:
+        df = pd.read_csv(file)
+        if 'df' not in st.session_state:
+                st.session_state['df'] = df
+
+if 'df' in list(st.session_state.keys()):
+    st.dataframe(st.session_state.df)